| --- |
| license: apache-2.0 |
| base_model: google/umt5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: umt5-bcoqa |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # umt5-bcoqa |
|
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| This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2095 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
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| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 3.4388 | 0.2 | 2500 | 2.5847 | |
| | 2.9502 | 0.4 | 5000 | 2.3387 | |
| | 2.8027 | 0.6 | 7500 | 2.2562 | |
| | 2.6951 | 0.8 | 10000 | 2.2095 | |
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| ### Framework versions |
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| - Transformers 4.37.2 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
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